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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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The project involves building and curating a comprehensive food image dataset suitable for mobile AI applications. High-accuracy deep learning models will be trained on this dataset and then
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; wireless sensor networks; green communications; next generation wireless broadband networks; signal processing and acoustics; digital image processing; structural health monitoring and underwater
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Unique opportunity to support research within the University of Sydney’s National Imaging Facility (NIF) node Base Salary $126,025 - $154,260 (HEO8/9) + 17% superannuation About the opportunity Sydney
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established protocols to ensure consistent, high-quality imaging outcomes. Ensure efficient processing, organisation, and secure storage of research imaging data in accordance with Facility and University
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random but can only happen along particular directions. However, as the material is made up of many crystals, and they all have different orientations, the deformation process of a polycrystalline material
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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include: 1. Identify a novel co-design methodology along with the structural templates that could be used to drive the further design process of collocated teamwork analytics with critical educational
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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team to ensure effective coordination of governance processes, reporting and compliance activities provide high-level secretariat support to committees and leadership groups, including agenda preparation